Key result
Proposed RADIA DVT model combines clinical probability, D-dimer, and ultrasound to diagnose symptomatic outpatient DVT.
Why the study?
Does the RADIA DVT model accurately diagnose or exclude DVT in symptomatic outpatients?
Population
Symptomatic outpatients with suspected deep vein thrombosis (DVT)
Design
Other
Authors
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May streamline DVT evaluation in outpatients if validated; leaves open prospective confirmation before clinical use.
Does the RADIA DVT model accurately diagnose or exclude DVT in symptomatic outpatients?
The paper proposes a diagnostic algorithm combining clinical probability, D-dimer, and ultrasound to efficiently diagnose or exclude DVT in outpatients.
Jan Michiels (1998) studied Deep vein thrombosis (DVT). RADIA DVT model (clinical probability, D-dimer, and compression ultrasonography) was evaluated. A proposed RADIA DVT model combining clinical probability, D-dimer testing, and compression ultrasonography aims to accurately diagnose or exclude DVT in symptomatic outpatients.
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